BMC medical imaging

01 21 October 2026

DOI 10.1186/s12880-026-02940-w

Impact of reduced scan extent on tumor detection in 68Ga-PSMA PET/CT for biochemical recurrence of prostate cancer

Open DOI

Falk Gühne, Alexander Küppers, Christian Kühnel et al.

Background: PSMA PET/CT plays an important role in biochemically recurrent prostate cancer (BCR-PCa). In general, PET/CT is performed as a limited or true whole-body examination. The majority of PET/CT scanners operate by measuring sever...

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02 20 October 2026

DOI 10.1186/s12880-026-02941-9

Develop and validate a risk prediction model and nomogram for peritoneal metastasis in patients with ovarian cancer

Open DOI

Xiaojin Li, Chunhua Duan, Yan Li et al.

03 20 October 2026

DOI 10.1186/s12880-026-02951-7

Longitudinal coronary CT angiography-derived body composition changes and subsequent cardiovascular events: a landmark cohort study

Open DOI

Yifei Zhao, Lihui Geng, Zhiwei Wang et al.

04 20 October 2026

DOI 10.1186/s12880-026-02929-5

Image clustering for breast cancer detection and diagnosis: a systematic review of algorithms, imaging modalities, feature representations and reported performance (2020–2025)

Open DOI

Julius Odili, Omoju John

Background: Breast cancer is the most common cancer in women globally, and many women die from it. Supervised deep learning is currently the dominant method for breast image analysis, but it relies on large annotated datasets that are ex...

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05 20 October 2026

DOI 10.1186/s12880-026-02975-z

Artificial Intelligence-based multi-stage pipeline for detecting caries and restorations in pediatric primary molars from intraoral photographs

Open DOI

Shahab Kavousinejad, Parisa Motie, Yasaman Daghighi et al.

06 20 October 2026

DOI 10.1186/s12880-026-02960-6

A quantitative study: investigating the diagnostic value of using dual-layer spectral computed tomography in differentiating idiopathic inflammatory myopathy-associated interstitial lung disease

Open DOI

Songlin Xie, Shenzhong Wang, Ziyue Zhang et al.

Objectives: Interstitial lung disease (ILD) is the primary clinical manifestation of antisynthetase syndrome (ASS) and polymyositis/dermatomyositis (PM/DM), and disease progression leads to poor outcomes. To facilitate early differential...

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07 20 October 2026

DOI 10.1186/s12880-026-02931-x

PSMA PET recurrence mapping and guideline coverage after radical prostatectomy: implications for postoperative prostate bed CTV delineation

Open DOI

Xin Qi, Huan Zhang, Cheng Chen et al.

Background: Salvage radiotherapy (sRT) to the prostate bed (PB) can be curative in patients with biochemical recurrence after radical prostatectomy, and accurate PB clinical target volume (CTV) delineation is important for treatment succ...

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08 20 October 2026

DOI 10.1186/s12880-026-02860-9

A machine learning model integrating T2* mapping and rest myocardial blood flow sequences for predicting revascularization of individual coronary arteries in stable coronary artery disease

Open DOI

Lei Zhao, Dong-Aolei An, Ruo-Yang Shi et al.

09 20 October 2026

DOI 10.1186/s12880-026-02838-7

Interaction between long-term preoperative beta-blocker therapy and left atrial appendage radiomics in predicting post-ablation atrial fibrillation recurrence

Open DOI

Yanping Yang, Weixi Zhong, Lili Zhang et al.

Background: It remains unclear whether long-term preoperative pharmacological therapy impacts the predictive value of left atrial appendage (LAA) radiomics for post-ablation atrial fibrillation (AF) recurrence. This study aims to explore...

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10 20 October 2026

DOI 10.1186/s12880-026-02945-5

Automated computation and comparison of three-dimensional left atrial shape descriptors from deep learning-assisted CT segmentation in atrial fibrillation: a retrospective methodological imaging study

Open DOI

Lingfen Lu, Zhongping Shi

Background: Three-dimensional left atrial (LA) shape descriptors are increasingly used to characterize atrial remodeling in atrial fibrillation (AF). However, several metrics have been reported under overlapping terminology, especially “...

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